Proximity

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Inspiration

Proximity was born from the realization that despite our hyper-connected digital world, many people feel disconnected from those physically around them. We wanted to create a platform that bridges the gap between online social networking and real-world interactions, encouraging people to form meaningful connections with others in their immediate vicinity.

What it does

Proximity allows users to discover and interact with people within a one-mile radius. Users can set up profiles with different labels for various contexts (professional, dating, casual chatting), and the app matches them with nearby users who have similar interests or goals. Once connected, users can send meetup requests and engage in real-time chats, all while maintaining control over their privacy and visibility.

How we built it

We developed Proximity using a modern web stack:

Frontend: React for a dynamic and responsive user interface Backend: Node.js with Express for a robust API Database: MongoDB for flexible data storage Mapping: MapboxGL for location visualization Real-time Communication: WebSocket for instant messaging

We integrated geolocation services to track and update user positions and implemented a matching algorithm based on user preferences and proximity.

Challenges we ran into

Balancing user privacy with location-based functionality
Optimizing performance for real-time updates of nearby users on the map
Ensuring reliable WebSocket connections for the chat feature
Managing complex states across components for chat sessions
Implementing an efficient algorithm for proximity-based user matching

Accomplishments that we're proud of

Creating a seamless, intuitive user experience for location-based social discovery
Implementing a real-time chat system that works smoothly within the app's context
Developing a flexible user profile system that adapts to different social contexts
Successfully integrating mapping functionality with user discovery features
Building a scalable backend architecture capable of handling real-time data updates

What we learned

Advanced React state management techniques
Real-time data handling with WebSockets
Geolocation API integration and optimization
Best practices for user data privacy and security in location-based apps
Efficient database querying for location-based data
Collaborative development workflows and version control

What's next for Proximity

Implementing push notifications for new nearby users and messages
Expanding the matching algorithm to include more sophisticated preferences
Adding features for creating and discovering local events
Developing mobile apps for iOS and Android for increased accessibility
Implementing AI-driven suggestions for potential connections
Enhancing privacy features with optional anonymity modes
Integrating with other social platforms for easier onboarding and profile creation